AI-Driven Anomaly Detection for Data Quality R package autoFlagR version 1.0.0 Automated data quality auditing using unsupervised machine learning. Provides AI-driven anomaly detection for data quality assessment, primarily designed for Electronic Health Records (EHR) data, with benchmarking capabilities for validation and publication. Methods based on: Liu et al. (2008) <doi:10.1109/ICDM.2008.17>, Breunig et al. (2000) <doi:10.1145/342009.335388>. Software Imports: isotree, dbscan, dplyr, ggplot2, pROC, PRROC, knitr, gt, scales, rmarkdown (>= 2.0) Suggests: testthat, pkgdown, ggnewscale Vikrant Dev Rathore <rathore.vikrant@gmail.com> Comprehensive R Archive Network (CRAN) Vikrant Dev Rathore [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=autoFlagR/LICENSE) 2026-01-15 application/tgz https://CRAN.R-project.org/package=autoFlagR doi:10.32614/CRAN.package.autoFlagR